Results 51 to 60 of about 31,026 (252)

Aberrations‐Corrected Ratiometric Parameters and PLQYs for Upconversion Thermometry in Hexagonal NaYF4:Yb3+,Er3+ and NaYF4:Yb3+,Tm3+ in Micro and Nanoscale Phosphors Using Novel Integrating Sphere Setup

open access: yesAdvanced Optical Materials, EarlyView.
Each optical system introduces aberrations in the reading of photoluminescence, which makes the signal dependant on the lab equipment. Here, a calibrated system is used to obtain the PLQYs and ratiometric parameters of popular upconverters to be used in thermometry.
Adilet Zhakeyev   +5 more
wiley   +1 more source

Subspace-Based SNR Estimation for Underwater Acoustic Communications

open access: yesIEEE Access
This paper proposes a signal-to-noise power ratio (SNR) estimation method for underwater acoustic environments that combines Hankel matrix transformation, singular value decomposition (SVD), and a Gaussian mixture model (GMM).
Kibum Kim   +3 more
doaj   +1 more source

Comparison of CS-Based Channel Estimation for Millimeter Wave Massive MIMO Systems

open access: yesApplied Sciences, 2019
Compressed sensing (CS) has great potential in channel estimation for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems.
Xingbo Lu   +3 more
doaj   +1 more source

Spectral Reconstruction Using Broadband Inkjet‐Printed Optical Filters

open access: yesAdvanced Optical Materials, EarlyView.
A proof‐of‐concept for a reconstructive spectrometer based on inkjet‐printed interferometric optical filters is demonstrated. Through adaptive encoding and robust post‐processing algorithms, spectral reconstruction is achieved over a 400 nm visible bandwidth at a fraction of the cost and complexity of typical encoders while maintaining high optical ...
Leonardo Baini   +9 more
wiley   +1 more source

A Deep Learning Approach for Direction-of-Arrival Estimation in Low-SNR Environments

open access: yesApplied Sciences
To address the significant performance degradation of traditional direction-of-arrival (DOA) estimation algorithms under low-signal-to-noise ratio (SNR) conditions, this paper proposes a deep learning-based super-resolution DOA estimation network (DSDE ...
Haiqin Zhao, Jian Gong, Changlin Zhou
doaj   +1 more source

Continuum Robots in Surgery: From Engineering Design to Clinical Practice

open access: yesAdvanced Robotics Research, EarlyView.
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith   +6 more
wiley   +1 more source

Direction of Arrival Estimation Using Two Hydrophones: Frequency Diversity Technique for Passive Sonar

open access: yesSensors, 2019
The traditional passive azimuth estimation algorithm using two hydrophones, such as cross-correlation time-delay estimation and cross-spectral phase estimation, requires a high signal-to-noise ratio (SNR) to ensure the clarity of the estimated target ...
Peng Li, Xinhua Zhang, Wenlong Zhang
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

An adaptive low-power LDPC decoder using SNR estimation

open access: yesEURASIP Journal on Wireless Communications and Networking, 2011
Owing to advancement in 4 G mobile communication and mobile TV, the throughput requirement in digital communication has been increasing rapidly. Thus, the need for efficient error-correcting codes is increasing.
Park Joo-Yul, Chung Ki-Seok
doaj  

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

open access: yesAdvanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang   +14 more
wiley   +1 more source

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